Siemens Aktiengesellschaft

Siemens Corporation

Ulrich Muenz

Xiaofan Wu

Daniel Kloeser

Joachim Bamberger

Michael Bernhard Buhl

Hasan Sinan Bank

Dagmar Beyer

Michael Jäntsch

Chris Oliver Heyde

Xia Miao

Coral Siminovich

Siddharth Bhela

Yubo Yubo

Gernot Herbst

Emmanouil Tzorakoleftherakis

Mohit Sinha

Hakan Ozlemis

A computer-implemented method for identifying a topology of a power distribution grid having a number of transformers includes acquiring measurement signals of one or more electrical quantities pertaining to nodes of the power distribution grid. A graph representation is generated using the measurement signals and grid topological information, wherein the measurement signals pertaining to respective nodes are used to derive node features and the grid topological information is used to encode edges representing certain and uncertain connections between the nodes. The graph representation is processed using a graph neural network to classify the nodes and output a mapping of each of the nodes to one of the transformers, whereby a status of the uncertain connections is determined.

Distribution grid topology identification encoding known toplogial information

A computer-implemented method for solar energy disaggregation at a node of a distribution system includes obtaining first data including samples of averaged net power measured by a meter installed at the node and second data including samples of solar irradiation local to the node averaged over intervals temporally correlated with the first data. A physics-based model of the node is trained using the first and second data, to optimize a set of model parameters. The physics-based model is defined such that an average net power includes a composite of an average solar generation and an average power consumption at the node and the average solar generation is modeled as a function of an average solar irradiation. An aggregate solar generation at the node is estimated/predicted from actual irradiation data/irradiation forecast data local to the node using a model parameter optimized by the training.

Unsupervised solar energy disaggregation system and method

A system and method for estimation of grid impedance in a power converter controller is disclosed in which a current controller is provided to inject an injection current while operating online and coupled to a power grid at a point of common coupling (PCC), the injection current being benign to an operating current of the power converter. A voltage controller is provided to regulate input voltage of the power converter. An impedance module is provided to determine parameters for the injection current, including injection interval and duration, current magnitude, current frequency, and symmetrical components. The impedance module may extract measurements of current and voltage at the PCC at an operating point shifted from a previous operating point in response to the injection current. The impedance module may extract symmetrical components of current and voltage measurements, and compute estimated grid impedance based on the extracted symmetrical components.

Grid impedence estimation for power converter controller

A method is for the generation of patterns for identifying faults in power supply systems. In this case, values characterizing a state of the power supply system are used for measurable variables specific to the power supply system for various times in a power supply system and values are determined for the variables specific to the power supply system via a model for the power supply system. In this case, the determination via a model is based on known system-specific input variables and unknown system-specific variables, and the unknown system-specific variables are determined in accordance with a fault-free functioning power supply system. Finally, a pattern for identifying faults is generated by forming the difference between the values characterizing the state and the values determined via the model for the various times.

Generation of patterns for identifying faults in power supply systems

Systems, methods, and computer-readable media are disclosed for planning and scheduling of manufacturing using a receding horizon planning approach that enables the manufacture of multiple products in a flexible and efficient manner. A receding horizon planning engine is provided that receives input data indicative of various manufacturing parameters associated with the manufacture of various products and utilizes the input data to solve an optimization problem with respect to a cost function to generate a receding horizon execution plan indicative of a set of planned manufacturing steps to be executed. Some subset of the planned manufacturing steps (which may include all planned steps) may then be executed. Upon completion of execution of the subset of planned manufacturing steps or upon the occurrence of a trigger event, the optimization problem may be re-solved to obtain a new receding horizon execution plan for a subsequent set of planned manufacturing steps.

Flexible product manufacturing planning

A method for estimating an admittance matrix for a transmission network comprises estimating in an upper layer time-series data for hidden nodes in the transmission network, computing in a lower layer an estimated admittance matrix for the transmission network and iteratively exchanging information between the upper layer and the second lower layer to produce a final admittance matrix for the transmission matrix. In some embodiments, the method may further comprise spatially dividing the transmission network into a plurality of subnets in the upper layer and estimating the time-series data for the hidden nodes for each subnet. Estimating the times series data for the hidden nodes for each subnet in parallel.

Method and system for online multi-layered grid admittance estimation with limited data measurements

Systems, methods, and computer-readable media are described for addressing the unit commitment problem in a power grid by providing a communication-free control framework according to which each power generating unit in the power grid determines its own operating schedule for turning on or off based solely on local measurements.

Growing community of inventors

Plainsboro, NJ, United States of America

Ulrich Muenz